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Paper Citation Record · LEDGER

Revisiting Unbiased Implicit Variational Inference

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.03839.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.03839 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:04:57.405484Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved12
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3fe5042d-1522-4613-9c5d-26c2987642f2 · outbound

This paper cites write newline.

Revisiting Unbiased Implicit Variational Inference write newline

Reference 1

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 82e38678-cec4-49be-bbe4-a988e5abbf09 · outbound

This paper cites Stabilizing training of affine coupling layers for high-dimensional variational inference.

Revisiting Unbiased Implicit Variational Inference Stabilizing training of affine coupling layers for high-dimensional variational inference

Reference 2

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d24f7aa5-9df0-4d66-ae8d-418d31f4c940 · outbound

This paper cites Importance Weighted Autoencoders.

Revisiting Unbiased Implicit Variational Inference Importance Weighted Autoencoders

Reference 3

Resolution
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Source-reported events for the cited work

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Observation a59424ff-a18a-4b7f-885f-0724df0e966c · outbound

This paper cites Kernel semi-implicit variational inference.

Revisiting Unbiased Implicit Variational Inference Kernel semi-implicit variational inference

Reference 4

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Source-reported events for the cited work

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Observation c83d0d46-f82d-447d-972e-678ea33ef2bd · outbound

This paper cites A stein variational newton method.

Revisiting Unbiased Implicit Variational Inference A stein variational newton method

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c0feffff-ed70-43f0-83da-e5b66f062f78 · outbound

This paper cites Density estimation using real NVP.

Revisiting Unbiased Implicit Variational Inference Density estimation using real NVP

Reference 6

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Source-reported events for the cited work

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Observation 05ff5b26-d355-41a7-a523-d56f61a8fdb3 · outbound

This paper cites Learning to draw samples with amortized stein variational gradient descent.

Revisiting Unbiased Implicit Variational Inference Learning to draw samples with amortized stein variational gradient descent

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation dfbe1bc7-ee8f-40e3-acd7-0baffc0bb684 · outbound

This paper cites Implicit reparameterization gradients.

Revisiting Unbiased Implicit Variational Inference Implicit reparameterization gradients

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1b1c22e7-6717-4f56-bbc9-6aaa81f9e2b6 · outbound

This paper cites Auto-Encoding Variational Bayes.

Revisiting Unbiased Implicit Variational Inference Auto-Encoding Variational Bayes

Reference 9

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 58df15a3-79e7-4491-97e3-4aa97bdcaa4f · outbound

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Revisiting Unbiased Implicit Variational Inference Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 9dc6eca6-3ea1-461a-b038-9930a0f712d4 · outbound

This paper cites and Huang, B.

Revisiting Unbiased Implicit Variational Inference and Huang, B

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bc81c18d-827a-4607-9cb9-8ee92cdcd5e3 · outbound

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Revisiting Unbiased Implicit Variational Inference Unresolved cited work

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 80bf18c5-2d36-42a0-ba9d-0da043274125 · outbound

This paper cites Adversarial variational bayes: unifying variational autoencoders and generative adversarial networks.

Revisiting Unbiased Implicit Variational Inference Adversarial variational bayes: unifying variational autoencoders and generative adversarial networks

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7e2d4914-7acb-49de-83fa-4a2b705e5daa · outbound

This paper cites Doubly semi-implicit variational inference.

Revisiting Unbiased Implicit Variational Inference Doubly semi-implicit variational inference

Reference 14

Resolution
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Source-reported events for the cited work

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Observation b8721b2e-a3fa-483b-9c64-e99d68a81031 · outbound

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Revisiting Unbiased Implicit Variational Inference Unresolved cited work

Reference 15

Resolution
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Source-reported events for the cited work

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Observation eb095512-72d7-422b-b9e6-93971a629fe2 · outbound

This paper cites J., Mohamed, S., and Lakshminarayanan, B.

Revisiting Unbiased Implicit Variational Inference J., Mohamed, S., and Lakshminarayanan, B

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 072673e8-2b90-4d77-bc13-b90d477adfc1 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Revisiting Unbiased Implicit Variational Inference Pytorch: An imperative style, high-performance deep learning library

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 626a86ba-6b96-42f4-a40f-023d1da354e8 · outbound

This paper cites Approximate bayesian inference with stein functional variational gradient descent.

Revisiting Unbiased Implicit Variational Inference Approximate bayesian inference with stein functional variational gradient descent

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5927deaa-214f-4a47-b1c0-78fe1ab932ff · outbound

This paper cites and Mohamed, S.

Revisiting Unbiased Implicit Variational Inference and Mohamed, S

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 3262d6a1-673e-43f8-acc6-8b2ddc7d30a1 · outbound

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Revisiting Unbiased Implicit Variational Inference Unresolved cited work

Reference 20

Resolution
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Source-reported events for the cited work

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Observation a54d929a-8ccd-4954-a668-e67ad6c4433b · outbound

This paper cites Kernel implicit variational inference.

Revisiting Unbiased Implicit Variational Inference Kernel implicit variational inference

Reference 21

Resolution
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Source-reported events for the cited work

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Observation 147f88aa-4a88-4f66-825a-adbf1d9cbca1 · outbound

This paper cites and Vetrov, D.

Revisiting Unbiased Implicit Variational Inference and Vetrov, D

Reference 22

Resolution
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Source-reported events for the cited work

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Observation 1c12508c-5ea3-4489-a2a8-bf27801a8f5b · outbound

This paper cites FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS.

Revisiting Unbiased Implicit Variational Inference FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS

Reference 23

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verified fuzzy
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Source-reported events for the cited work

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Observation ad8b3c8a-c1bc-4688-a4d1-4c135ad2179e · outbound

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Revisiting Unbiased Implicit Variational Inference Unresolved cited work

Reference 24

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Source-reported events for the cited work

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Observation 6d785dbd-d1d1-4e83-bf70-2f88f697b1c7 · outbound

This paper cites and Teh, Y.

Revisiting Unbiased Implicit Variational Inference and Teh, Y

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e3cc9393-61a4-4943-b300-146448426e4e · outbound

This paper cites and Zhou, M.

Revisiting Unbiased Implicit Variational Inference and Zhou, M

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f5408110-13f4-4a97-b5f0-3a7400db739c · outbound

This paper cites and Zhang, C.

Revisiting Unbiased Implicit Variational Inference and Zhang, C

Reference 27

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0f1081c4-54ce-4ca0-a412-b1d1c245605d · outbound

This paper cites Hierarchical semi-implicit variational inference with application to diffusion model acceleration.

Revisiting Unbiased Implicit Variational Inference Hierarchical semi-implicit variational inference with application to diffusion model acceleration

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T11:04:57.399444Z digest=sha256:045d0670298e3acdd360ea46fe08925c8872c52104465d3f93243c8be1f340d8

Observation bbf66560-5eba-45d3-9cc0-0a44c3aa2e2f · outbound

This paper cites Nested variational inference.

Revisiting Unbiased Implicit Variational Inference Nested variational inference

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

No inbound Pith citation observations are available.